Mac17,2
Geekbench AI Score
12797
Single Precision Score
24389
Half Precision Score
23127
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 04:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6174
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10705
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
9566
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10088
163.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16707
270.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16999
275.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39387
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102379
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
109982
128.9 IPS |
|
|
Object Detection (SP)
|
100% |
6386
506.6 IPS |
|
|
Object Detection (HP)
|
100% |
11599
920.0 IPS |
|
|
Object Detection (Q)
|
93% |
9751
777.9 IPS |
|
|
Face Detection (SP)
|
100% |
17617
209.3 IPS |
|
|
Face Detection (HP)
|
100% |
33038
392.6 IPS |
|
|
Face Detection (Q)
|
100% |
25946
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28397
218.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55481
427.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51555
402.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80964
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
189890
244.1 IPS |
|
|
Style Transfer (Q)
|
96% |
209324
270.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16255
600.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32966
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29238
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5186
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5495
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5495
95.0 IPS |
